Savision announced the availability of its new multi-platform Business Service Intelligence Solution, Unity iQ.
Unity iQ connects the worlds between IT, the help desk and the business, transforming silos into unity. This new solution aggregates and analyzes dispersed data from existing ITSM and monitoring systems, delivering relevant and actionable information for IT and business stakeholders. It does not replace these existing domain tools, but rather it collects, correlates and prioritizes the data these systems produce and measures it against pre-defined business KPIs.
"Business service delivery is stuck in a world of silos. Unity iQ is a smart and easy-to-deploy solution that reduces complexity and brings these worlds together," said Diana Krieger, CEO of Savision. "Unity iQ allows you to aggregate, analyze and act upon dispersed data from different monitoring and ITSM systems. It provides a holistic view for your IT, help desk and business teams so they can solve problems faster and predict outages. With Unity iQ, you can spend less time on operations and more on innovation."
Unity iQ turns data into Business Service Intelligence. Alerts, and incidents are displayed in real-time, giving all stakeholders a holistic view of their complete IT environment.
The benefits of Unity iQ include:
- Enables Business and IT alignment (People): Facilitates business optimization and motivates an entrepreneurial-focused culture. Helps organizations in maturity journey, and solves miscommunications between business and IT.
- Increases innovation (Technology) and revenue: Unity iQ helps to increase maturity level of the company by providing business contribution metrics. The more mature a company becomes, the more they can invest money from their operational budget to focus more in innovation, lowering risks and costs.
- Increases operating efficiency (Process): The access to relevant information makes room for better decision making, as well as predicting and minimizing downtime.
With Unity iQ, IT will spend less time resolving problems and more time on planning for the future.
Unity iQ:
- Reduces downtime by up to 70%
- Reduces the number of service outages by up to 60%
- Results in cost savings of up to 82%
- Is easy to install, configure and maintain
"We developed Unity iQ in line with requests from our customers, and our customers also provided valuable feedback by using a beta version of Unity iQ," said Rob Doucette, CTO of Savision. "We're confident that this unique, innovative solution will solve enterprises' main problem of too much data across silos, by providing a more robust, holistic view."
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.